Samsung Galaxy S22
Geekbench AI Score
1848
Single Precision Score
1847
Half Precision Score
2808
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | AfterCar1805259 |
| Upload Date | January 27 2025 10:58 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm Snapdragon 8 Gen 1 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | Samsung Galaxy S22 |
| Model ID | samsung SM-S901N |
| Motherboard | taro |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 2 part 3400 revision 0 |
| Base Frequency | 1.78 GHz |
| Cluster 1 | 4 Cores @ 1.79 GHz |
| Cluster 2 | 3 Cores @ 2.50 GHz |
| Cluster 3 | 1 Core @ 3.00 GHz |
| Memory Information | |
|---|---|
| Size | 7.05 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1444
268.5 IPS |
|
|
Image Classification (HP)
|
100% |
1453
270.2 IPS |
|
|
Image Classification (Q)
|
100% |
2071
385.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1529
24.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1502
24.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
2314
37.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
2707
3.16 IPS |
|
|
Pose Estimation (HP)
|
100% |
2665
3.11 IPS |
|
|
Pose Estimation (Q)
|
84% |
5622
6.67 IPS |
|
|
Object Detection (SP)
|
98% |
1462
116.3 IPS |
|
|
Object Detection (HP)
|
98% |
1425
113.4 IPS |
|
|
Object Detection (Q)
|
83% |
2075
167.6 IPS |
|
|
Face Detection (SP)
|
100% |
2566
30.5 IPS |
|
|
Face Detection (HP)
|
100% |
2618
31.1 IPS |
|
|
Face Detection (Q)
|
95% |
4650
55.5 IPS |
|
|
Depth Estimation (SP)
|
99% |
3000
23.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
2954
22.8 IPS |
|
|
Depth Estimation (Q)
|
64% |
4775
43.7 IPS |
|
|
Style Transfer (SP)
|
89% |
5786
7.51 IPS |
|
|
Style Transfer (HP)
|
89% |
5918
7.68 IPS |
|
|
Style Transfer (Q)
|
98% |
11730
15.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1416
52.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1453
53.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3038
112.6 IPS |
|
|
Text Classification (SP)
|
100% |
633
844.7 IPS |
|
|
Text Classification (HP)
|
99% |
630
841.0 IPS |
|
|
Text Classification (Q)
|
88% |
1091
1.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
1333
23.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1334
23.0 IPS |
|
|
Machine Translation (Q)
|
50% |
632
22.4 IPS |
